Advanced physical modelling, custemisation of general techniques to Czech teritory, tailoring of advanced Bayesian technique for data asimilation, specific algorithms fighting with problem dimensionality are key techniques developed and used for solving nuclear safety problems, especially, for advising to authorities in case of nuclear (possibly chemical or even terroristic) threats.

Bayesian techniques have been traditionally developed, refined and applied in variaty of medical, predominantly dignostics, problems. Beign improtant on their own, they have served as test field with a a alck of universal (physical-like) models, very limited amount of very uncertain measured data of mixed nature and significant consequences for patients with dangerous diseases like thyroid gland cancer or lymphedema.

Accumulation of Acquired Knowledge

Complexity of the targeted research makes care about knowledge accumulation in software and educational material its indispenseable part.